The aim of this study has been to compare the aboveground biomass (AGB) in six tropical forests in southeastern Mexico using generic and species-specific models at tree, species, and community levels. The dbh of 2,352 trees ≥10 cm was measured at 115 plots. AGB was estimated using Chave et al.’s generic model, with the most reliable specific equations extracted from the literature and online databases. Overall, we found 45 specific models applicable to 55.4% of the species present. In 30% of the species examined, there was a difference in AGB between the different methods used. Using specific equations at the community level, the estimate for AGB increased by 9.1% (x = 166.6 Mg ha⁻¹ ± 27.5 SD) compared to the generic model alone (p < 0.04). Based on the consistency of overestimation at all sites, we concluded that for these particular tropical rainforests, applying specific models to the small proportion (≤10%) of dominant tree species (≥ 5% relative biomass) was sufficient to improve the accuracy of community level AGB estimates. This justifies increasing the number of databases of specific models particularly for highly productive rainforests. We therefore recommend that this approach be applied to provide further evidence to facilitate model choice.

这项研究的目的是使用树木，物种和社区级别的通用模型和特定物种模型，比较墨西哥东南部六个热带森林中的地上生物量（AGB）。在115个样地上测量了2,352棵≥10 cm的树木的dbh。使用Chave等人的通用模型估算AGB，并从文献和在线数据库中提取最可靠的特定方程式。总体而言，我们发现有45种特定模型适用于当前物种的55.4％。在所检查物种的30％中，使用的不同方法之间的AGB有所不同。与社区模型相比，使用特定的社区一级方程式，AGB的估算值增加了9.1％（x  = 166.6 Mg ha ^-1 ±27.5 SD）（p <0.04）。基于所有地点高估的一致性，我们得出结论，对于这些特殊的热带雨林，将特定模型应用于占主导地位的树种的小比例（≤10％）（相对生物量≥5％）足以提高群落的准确性。 AGB级别的估算值。这证明增加特定模型的数据库数量是合理的，特别是对于高产雨林。因此，我们建议采用这种方法来提供进一步的证据，以促进模型的选择。